How do I extract data for 300 genes from a matrix of 22,000 genes over five samples?

I am trying to extract data for 300 genes out of a matrix of 22,000 genes (rows) over 5 samples (columns). What's the best way to do that? Creating objects and indexing? I don't really know much about Matlab so I'm not even sure where to start.

I am ultimately trying to create subsets like those used in ROBNCA.

[dpb]

Need to know how the data are encoded to have any chance't of answering the question. Attach a short sample, maybe...

[Star Strider]

Context: ‘ROBNCA: robust network component analysis for recovering transcription factor activities’ Bioinformatics (2013) 29 (19): 2410-2418.

MATLAB code for NCA apparently exists, but the link to it in that article is broken.

[Adam Hug]

I was able to download the ROBNCA software listed on their site:

http://people.tamu.edu/~amina/ROBNCA/

The authors appear to be generating subsets by logically indexing into their gene expression and connectivity matrices. If you're unfamiliar with logical indexing, here's a helpful explanation to get you started:

http://blogs.mathworks.com/steve/2008/01/28/logical-indexing/

Alternatively, you can use MATLAB's "find" function to do the same thing:

http://www.mathworks.com/help/matlab/ref/find.html